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Related Concept Videos

Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

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Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
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Step-Growth Polymerization: Overview01:03

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Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
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Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

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The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
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Polymers02:34

Polymers

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The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
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Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

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Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
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Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

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Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
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Swarm Intelligence Platform for Multiblock Polymer Inverse Formulation Design.

Sean P Paradiso1, Kris T Delaney2, Glenn H Fredrickson3

  • 1Department of Chemical Engineering, ‡Materials Research Laboratory, and §Materials Department, University of California, Santa Barbara, California 93016, United States.

ACS Macro Letters
|May 24, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed an automated platform using Particle Swarm Optimization (PSO) to discover custom multiblock polymer (MBP) formulations. This method efficiently screens molecular designs for desired self-assembled nanostructures, accelerating materials innovation.

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Area of Science:

  • Polymer Science and Engineering
  • Materials Science
  • Computational Chemistry

Background:

  • Multiblock polymers (MBPs) offer tunable nanostructures for advanced material properties.
  • Current design strategies lack efficient methods for navigating complex molecular architectures.
  • Predicting self-assembly behavior remains a significant challenge in polymer science.

Purpose of the Study:

  • To develop an automated computational method for discovering tailored multiblock polymer formulations.
  • To enable efficient screening of molecular designs for specific self-assembled morphologies.
  • To overcome limitations in predicting and controlling polymer self-assembly.

Main Methods:

  • Implementation of a Particle Swarm Optimization (PSO) algorithm.
  • Development of a linear multiblock chain parametrization for continuous architectural optimization.
  • Application to thin-film blends of linear ABC triblock polymers under lateral confinement.

Main Results:

  • Successful automated discovery of tailored MBP formulations for a prespecified target morphology.
  • Demonstration of efficient optimization of polymer and blend parameters.
  • Proof of principle for pattern selection, adaptable to other computable equilibrium properties.

Conclusions:

  • The developed PSO-based platform significantly accelerates the discovery of functional multiblock polymers.
  • This approach provides a powerful tool for navigating the vast molecular design space of polymers.
  • The method is versatile and can be extended to optimize various material properties beyond morphology.